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Noise suppression beyond the thermal limit with nanotransistor biosensors
Transistor biosensors are mass-fabrication-compatible devices of interest for point of care diagnosis as well as molecular interaction studies. While the actual transistor gates in processors reach the sub-10 nm range for optimum integration and power consumption, studies on design rules for the sig...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391715/ https://www.ncbi.nlm.nih.gov/pubmed/32728030 http://dx.doi.org/10.1038/s41598-020-69493-y |
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author | Kutovyi, Yurii Madrid, Ignacio Zadorozhnyi, Ihor Boichuk, Nazarii Kim, Soo Hyeon Fujii, Teruo Jalabert, Laurent Offenhaeusser, Andreas Vitusevich, Svetlana Clément, Nicolas |
author_facet | Kutovyi, Yurii Madrid, Ignacio Zadorozhnyi, Ihor Boichuk, Nazarii Kim, Soo Hyeon Fujii, Teruo Jalabert, Laurent Offenhaeusser, Andreas Vitusevich, Svetlana Clément, Nicolas |
author_sort | Kutovyi, Yurii |
collection | PubMed |
description | Transistor biosensors are mass-fabrication-compatible devices of interest for point of care diagnosis as well as molecular interaction studies. While the actual transistor gates in processors reach the sub-10 nm range for optimum integration and power consumption, studies on design rules for the signal-to-noise ratio (S/N) optimization in transistor-based biosensors have been so far restricted to 1 µm(2) device gate area, a range where the discrete nature of the defects can be neglected. In this study, which combines experiments and theoretical analysis at both numerical and analytical levels, we extend such investigation to the nanometer range and highlight the effect of doping type as well as the noise suppression opportunities offered at this scale. In particular, we show that, when a single trap is active near the conductive channel, the noise can be suppressed even beyond the thermal limit by monitoring the trap occupancy probability in an approach analog to the stochastic resonance effect used in biological systems. |
format | Online Article Text |
id | pubmed-7391715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73917152020-07-31 Noise suppression beyond the thermal limit with nanotransistor biosensors Kutovyi, Yurii Madrid, Ignacio Zadorozhnyi, Ihor Boichuk, Nazarii Kim, Soo Hyeon Fujii, Teruo Jalabert, Laurent Offenhaeusser, Andreas Vitusevich, Svetlana Clément, Nicolas Sci Rep Article Transistor biosensors are mass-fabrication-compatible devices of interest for point of care diagnosis as well as molecular interaction studies. While the actual transistor gates in processors reach the sub-10 nm range for optimum integration and power consumption, studies on design rules for the signal-to-noise ratio (S/N) optimization in transistor-based biosensors have been so far restricted to 1 µm(2) device gate area, a range where the discrete nature of the defects can be neglected. In this study, which combines experiments and theoretical analysis at both numerical and analytical levels, we extend such investigation to the nanometer range and highlight the effect of doping type as well as the noise suppression opportunities offered at this scale. In particular, we show that, when a single trap is active near the conductive channel, the noise can be suppressed even beyond the thermal limit by monitoring the trap occupancy probability in an approach analog to the stochastic resonance effect used in biological systems. Nature Publishing Group UK 2020-07-29 /pmc/articles/PMC7391715/ /pubmed/32728030 http://dx.doi.org/10.1038/s41598-020-69493-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kutovyi, Yurii Madrid, Ignacio Zadorozhnyi, Ihor Boichuk, Nazarii Kim, Soo Hyeon Fujii, Teruo Jalabert, Laurent Offenhaeusser, Andreas Vitusevich, Svetlana Clément, Nicolas Noise suppression beyond the thermal limit with nanotransistor biosensors |
title | Noise suppression beyond the thermal limit with nanotransistor biosensors |
title_full | Noise suppression beyond the thermal limit with nanotransistor biosensors |
title_fullStr | Noise suppression beyond the thermal limit with nanotransistor biosensors |
title_full_unstemmed | Noise suppression beyond the thermal limit with nanotransistor biosensors |
title_short | Noise suppression beyond the thermal limit with nanotransistor biosensors |
title_sort | noise suppression beyond the thermal limit with nanotransistor biosensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391715/ https://www.ncbi.nlm.nih.gov/pubmed/32728030 http://dx.doi.org/10.1038/s41598-020-69493-y |
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